Automatic QSO Selection Using Machine Learning: Application on Massive Astronomical Database

Details Automatic QSO Selection Using Machine Learning: Application on Massive Astronomical Database Automatic QSO Selection Using Machine Learning: Application on Massive Astronomical Database

Jul 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aspc..442..447k&link_type=abstract

Astronomical Data Analysis Software and Systems XX. ASP Conference Proceedings, Vol. 442, proceedings of a Conference held at Se

Astronomy and Astrophysics

Astronomy

Scientific paper

We present a new QSO (Quasi-Stellar Object) selection algorithm using Support Vector Machine (SVM), a supervised classification method, on a set of multiple extracted times series features such as period, amplitude, color, and autocorrelation value. We train a model that separates QSOs from variable stars, non-variable stars and microlensing events using the richest possible training set consisting of all known types of variables including QSOs from the MAssive Compact Halo Object (MACHO) database. We applied the trained model on the MACHO Large Magellanic Cloud (LMC) dataset, which consists of 40 million lightcurves, and found 1,620 QSO candidates. During the selection none of the 33,242 known MACHO variables were misclassified as QSO candidates. In order to estimate the true false positive rate, we crossmatched the candidates with astronomical catalogs including the Spitzer Surveying the Agents of a Galaxy's Evolution (SAGE) LMC catalog. The results further suggest that the majority of the candidates, more than 70%, are QSOs.

Affiliated with

Also associated with

No associations

Rating

Automatic QSO Selection Using Machine Learning: Application on Massive Astronomical Database does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Automatic QSO Selection Using Machine Learning: Application on Massive Astronomical Database, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automatic QSO Selection Using Machine Learning: Application on Massive Astronomical Database will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-989366